Automating Analytics in the Data Stack
In recent years, the data stack has evolved to be more scalable, flexible and responsive. But there is a disconnect between available technology and organizations realizing the benefits. Our research shows the most common complaint organizations report about analytics and business intelligence technology is that it is not flexible or adaptable to change. The ever-growing volume of data and sources, cloud options and governance requirements necessitates an organization automate their data stack to achieve a scalable, flexible and responsive data stack by increasing agility, maximizing efficiency and connecting IT and line-of-business users.